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Technical Staff Member – Agent
Company WatchEngineering-focused role developing scalable systems for AI research at H. Collaborate in pushing the frontiers of agentic AI within a dynamic team environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in Agentic AI, including the design and development of large-scale agents and systems, with a strong focus on Reinforcement Learning and foundation models. Proven ability to mentor teams, enforce engineering standards, and manage complex AI/ML projects from conception to production.
Highest-signal resume keywords
Agentic AI ExpertiseReinforcement Learning ApplicationLarge Language Model (LLM) TrainingDistributed Systems ExperienceSystem Architecture and Observability
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComplex System DesignAlgorithm DevelopmentBenchmarking SystemsSimulation Environment BuildingCode ReviewTechnical InnovationTechnical Debt ManagementAI/ML Project LeadershipFoundation Models
Soft Skills
MentoringCollaborationTechnical Excellence
Tools & Technologies
AWSLangChainAutoGenCrewAIOpenAI SDK
Certifications & Qualifications
PhD in Machine LearningPhD in Computer Science
Industry Keywords
Frontier AI LabNeurIPSICMLICLRHigh-Performance Systems
Tech Stack
Tools & technologiesAWSCloudDistributed Systems
About the role
Key responsibilities & impact- Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs).
- Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments.
- Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures.
- Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure.
- Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design.
- Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle.
Requirements
What you’ll need- Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production.
- Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science.
- Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs).
- (Bonus Skills) Practical experience applying Reinforcement Learning to systems built on Large Language Models (LLMs).
- Experience with distributed systems or cloud computing, preferably in AWS.
- Familiarity with building complex simulation environments for agent training.
- Experience with LLM training or fine-tuning.
- Experience developing large-scale evaluation and benchmarking systems for AI models.
- Experience in an agentic framework (e.g., LangChain, AutoGen, CrewAI, OpenAI SDK).
- Expertise in system architecture, instrumentation, observability, and monitoring for complex, high-performance systems.
Benefits
Comp & perks- Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
- Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
- Enjoy a competitive salary.
- Unlock opportunities for professional growth, continuous learning, and career development.